The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.
Teaming With a Synthetic Teammate: Insights into Human-Autonomy Teaming
Abstract
Objective: Three different team configurations are compared with the goal of better understanding human-autonomy teaming (HAT). Background: Although an extensive literature on human-automation interaction exists, much less is known about HAT in which humans and autonomous agents interact as coordinated units. Further research must be conducted to better understand how all-human teams compare to HAT. Methods: In an unmanned aerial system (UAS) context, a comparison was made among three types of three-member teams: (1) synthetic teams in which the pilot role is assigned to a synthetic teammate, (2) control teams in which the pilot was an inexperienced human, and (3) experimenter teams in which an experimenter served as an experienced pilot. Ten of each type of team participated. Measures of team performance, target processing efficiency, team situation awareness, and team verbal behaviors were analyzed. Results: Synthetic teams performed as well at the mission level as control (all human) teams but processed targets less efficiently. Experimenter teams performed better across all other measures compared to control and synthetic teams. Conclusion: Though there is potential for a synthetic agent to function as a full-fledged teammate, further advances in autonomy are needed to improve team-level dynamics in HAT teams. Application: This research contributes to our understanding of how to make autonomy a good team player.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Conversely, several mixed methods studies did meet our criteria and appear in the review (e.g., McNeese et al., 2018).”
From Human–Autonomy Teaming: A Review and Analysis of the Empirical Literature (2022) · cites this paper as McNeese et al., 2018
In the citing paper
“This is consistent with many descriptions of HATs in the literature (Demir, Cooke, et al., 2018; Demir, Likens, et al. 2018; Demir, McNeese, et al., 2018; Endsley, 2015; Fiore & Wiltshire, 2016; McNeese et al., 2018), but we formalize it here.”
From Human–Autonomy Teaming: A Review and Analysis of the Empirical Literature (2022) · cites this paper as McNeese et al., 2018
In the citing paper
“Interdependence is relatively straightforward to identify, as it can be built into the task design and outcome distribution (e.g., McNeese et al., 2018, Nass et al., 1996; Walliser et al., 2019, 2019).”
From Human–Autonomy Teaming: A Review and Analysis of the Empirical Literature (2022) · cites this paper as McNeese et al., 2018
In the citing paper
“The CERTT-UAS-STE (Cooke & Shope, 2004) was a testbed used in 18 articles in our search (e.g., Demir, et al., 2016; Demir, Cooke, et al., 2018; Demir, Likens et al., 2018, Demir, McNeese, et al. 2018; McNeese et al., 2018).”
From Human–Autonomy Teaming: A Review and Analysis of the Empirical Literature (2022) · cites this paper as McNeese et al., 2018
In the citing paper
“(I) Human–human teams generally had better outcomes than did HATs”
From Human–Autonomy Teaming: A Review and Analysis of the Empirical Literature (2022) · cites this paper as McNeese et al. (2018)
5 more claims about this paper
Create a free account to see every claim other papers make about this one.
Citations
Cites
Development of NASA-TLX (Task Load Index): Results of Empirical and Theoretical Research
(1988) · Advances in Psychology · doi:10.1016/s0166-4115(08)62386-9 · Cited by 15,003
Is there a “Big Five” in Teamwork?
Salas, E., Sims, D. E., & Burke, C. S. (2005) · Small Group Research · doi:10.1177/1046496405277134 · Cited by 1,930
How Can the Human Mind Occur in the Physical Universe?
Anderson, J. R. (2007) · doi:10.1093/acprof:oso/9780195324259.001.0001 · Cited by 1,483
On Teams, Teamwork, and Team Performance: Discoveries and Developments
Salas, E., Cooke, N. J., & Rosen, M. A. (2008) · Human Factors: The Journal of the Human Factors and Ergonomics Society · doi:10.1518/001872008x288457 · Cited by 1,133
Self-citationTeams: Their Training and Performance
Swezey, R. W., & Salas, E. (1992) · Medical Entomology and Zoology · Cited by 891
Lim, B., & Klein, K. J. (2006) · Journal of Organizational Behavior · doi:10.1002/job.387 · Cited by 614
Transactive Memory: Learning Who Knows What in Work Groups and Organizations
Moreland, R. L. (1999) · Shared Cognition in Organizations · doi:10.4324/9781410603227-1 · Cited by 566
Cooke, N. J., Gorman, J. C., Myers, C. W., & Duran, J. L. (2013) · Cognitive Science · doi:10.1111/cogs.12009 · Cited by 522
Self-citationHuman–Agent Teaming for Multirobot Control: A Review of Human Factors Issues
Chen, J. Y. C., & Barnes, M. J. (2014) · IEEE Transactions on Human-Machine Systems · doi:10.1109/thms.2013.2293535 · Cited by 522
Measuring team situation awareness in decentralized command and control environments
Gorman, J. C., Cooke, N. J., & Winner, J. L. (2006) · Ergonomics · doi:10.1080/00140130600612788 · Cited by 295
Self-citation
Research works printed but not linked: 2
- Mcintyre, R. M. & Salas, E. (1995). Measuring and managing for team performance: Emerging principles from complex environments. In R. Guzzo, & E. Salas (Eds.), Team effectiveness and decision making in organizations (pp. 149–203). San Francisco: Jossey-Bass.
- USAF, 2013, Autonomy science and technology strategy
Cited by
Items 301–380 of 380
(2024) · Natural Hazards and Earth System Sciences Discussions · doi:10.5194/nhess-2024-25-rc1
The Impact of Mixed-Initiative on Collaboration in Hybrid AI
Methnani, L., Lindström, A. D., & Dignum, V. (2024) · Frontiers in artificial intelligence and applications · doi:10.3233/faia240227
Hart, S., Steane, V., & Chattington, M. (2024) · IEEE International Conference on Human-Machine Systems (ICHMS) · doi:10.1109/ichms59971.2024.10555657
(2024) · Natural Hazards and Earth System Sciences Discussions · doi:10.5194/nhess-2024-25-rc2
Agent Transparency as a Mechanism of Trust Improvement Between Humans and Industry 4.0 Systems
Simon, L., Rauffet, P., & Guerin, C. (2025) · Studies in computational intelligence · doi:10.1007/978-3-031-85316-6_1
Exploring Dynamic Influences on Trust in Human-Autonomy Teaming: An Entropy and Event Layer Analysis
Yin, X., & Gorman, J. C. (2024) · Proceedings of the Human Factors and Ergonomics Society Annual Meeting · doi:10.1177/10711813241286505
Autonomy: A family resemblance concept? An exploration of human–robot teams
Collins, E. C., Baker, J. D., Ball, B., Helliwell, A. C., & Marble, J. L. (2025) · Elsevier eBooks · doi:10.1016/b978-0-443-29246-0.00018-3
Willingness to work as a predictor of human-agent team success
Gurney, N., Pynadath, D. V., & Miller, J. H. (2025) · Frontiers in Computer Science · doi:10.3389/fcomp.2025.1405436
Salehi, P., León, G. A., & Chiou, E. K. (2025) · Human-Intelligent Systems Integration · doi:10.1007/s42454-025-00061-3
Working in a Heartbeat: Considerations for AI Teammates in Search and Rescue Teams
Guynup, C., Sawant, S., Solorzano, C. D., Arnold, E., Poe, A., Flathmann, C., McNeese, N. J., Madathil, K. C., Toxtli, C., & Gramopadhye, A. K. (2025) · Proceedings of the Human Factors and Ergonomics Society Annual Meeting · doi:10.1177/10711813251358806
Self-citationA Framework Considering the Cross-Effects of Human and AI Collaboration on Team Resilience
Wang, Y., NGUYEN, H. G., Mallick, R., André, K., Duan, W., McNeese, N. J., & Flathmann, C. (2025) · Proceedings of the Human Factors and Ergonomics Society Annual Meeting · doi:10.1177/10711813251358241
Self-citationDoost, E. Z., Grimm, D., Zhou, S., Scalia, M. J., Yin, X., & Gorman, J. C. (2025) · Proceedings of the Human Factors and Ergonomics Society Annual Meeting · doi:10.1177/10711813251366298
Sensitivity of Self-Report Measures of Trust in Human-Autonomy Teaming
Zhou, S., Yin, X., Scalia, M. J., Hao, R., Duan, W., Funke, G. J., Tolston, M. T., Freeman, G., McNeese, N. J., & Gorman, J. C. (2025) · Proceedings of the Human Factors and Ergonomics Society Annual Meeting · doi:10.1177/10711813251369395
Self-citationHao, R., Gorman, J. C., Gutzwiller, R. S., & Cooke, N. J. (2025) · Proceedings of the Human Factors and Ergonomics Society Annual Meeting · doi:10.1177/10711813251369388
Self-citationUnderstanding Human-Agent Teaming: A Mixed-Methods Examination of Perceptions and Interactions
Robbins-Roth, V. T., Carmody, K., DeLoach, B., Carroll, M. B., Thayer, A. L., & Wildman, J. L. (2025) · Proceedings of the Human Factors and Ergonomics Society Annual Meeting · doi:10.1177/10711813251370747
Scalia, M. J., Hao, R., Zhou, S., Yin, X., Duan, W., Weng, N., Tuttle, J., Bell, C., Tolston, M. T., Funke, G. J., et al. (2025) · Proceedings of the Human Factors and Ergonomics Society Annual Meeting · doi:10.1177/10711813251369794
Self-citationStefanova-Stoyanova, V., & Danov, P. (2025) · International Scientific Conference Electronics (ET) · doi:10.1109/et66806.2025.11204086
Feng, Y., Zhang, H., Elmimouni, H., Horton, M., Oliver, M., Read, J. C., & Rode, J. A. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5772236
Estimation of autonomy in university students and its relationship with academic performance
Mora, M. C. G., Ahumada, V., & Gamboa, A. M. (2025) · Revista Interamericana de Investigación Educación y Pedagogía RIIEP · doi:10.15332/r74apb59
Reimagining roles and identity in the era of human - AI collaboration
(2025) · Frontiers research topics · doi:10.3389/978-2-8325-7250-4
Carter, O. B. J. (2023) · UWA Profiles and Research Repository (University of Western Australia) · doi:10.26182/dtzr-9k65
Atweh, J. A. (2025) · Thesis Commons (OSF Preprints) · doi:10.31237/osf.io/v65dc_v1
Team Cognition and Outage Management: Improving Nuclear Power Plant Resilience
(2020) · Arizona State University Library Digital Repository (Arizona State University)
Transparency, trust, and level of detail in user interface design for human autonomy teaming
Wang, T. (2023) · VTechWorks (Virginia Tech)
Friedrich, L. M. (2023) · Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)
A Systematic Literature Review on Human-Agent Teaming with Insights into Multi-Agent Interactions
Yu, Z., Cui, T., Luo, C., & Tan, D. (2025) · Journal of the Association for Information Systems
Zercher, D., Jussupow, E., & Heinzl, A. (2025) · Journal of the Association for Information Systems
Roesler, D. (2023) · Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)
Bailey, M. E. (2025) · Enlighten: Theses (The University of Glasgow) · doi:10.5525/gla.thesis.85469
Navigating AI system implementation
Berretta, S. (2025) · Dokumentenrepositorium der RUB (Ruhr University Bochum) · doi:10.13154/294-13591
When robots reshape teams: neurodynamic insights into taskwork and teamwork in search and rescue
Spenceley, R. J., & Mehta, R. K. (2026) · Frontiers in Neuroergonomics · doi:10.3389/fnrgo.2026.1771753
Teaming Up With an AI Agent: Training Humans to Develop Human-Agent Teamwork Skills
Farah, Y. A., Kim, J. W., Newendorp, A. K., Abadi, G. S., Dorneich, M. C., & Gilbert, S. B. (2026) · Journal of Cognitive Engineering and Decision Making · doi:10.1177/15553434261430062
Weng, N., Duan, W., Guynup, C., Flathmann, C., Basappa, R., & McNeese, N. J. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.6511199
Self-citationThe Role of Predictive Processes in Individual and Social Agency and their Effect on Perception
Besnerais, A. L. (2025) · theses.fr (ABES) · doi:10.70675/3595118bz75d1z45a2z9c2azf5d23b525ffc
Évolution des systèmes autonomes : de l’outil au coéquipier dans les équipes HAT
Unrein, H. (2023) · theses.fr (ABES) · doi:10.70675/8b88edb9z9c83z4b64z98afz5078780f489c
Explanation of the artificial agent : exploring the content and format of human interaction with AI
Guillou, M. L. (2023) · theses.fr (ABES) · doi:10.70675/31fa6b72z3709z4eb3z81c7z566d1b6cb118
Intelligence artificielle (IA) et transparence : prédictibilité, sentiment de contrôle et confiance
Pagliari, M. (2023) · theses.fr (ABES) · doi:10.70675/80bb7d86z59bcz4961za61cz99633476f6f5
The Role of Role: How AI teammates’ Function and Operational Context Shape Human Perceptions
Basappa, R., Flathmann, C., Wang, Y., Duan, W., & McNeese, N. J. (2026) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2026.2652601
Self-citationBeyond Algorithm Aversion: The Role of Power Relationships in Shaping Mutual Trust in Human-AI Team
Xie, Y., Liu, Z., Zhou, R., Chan, A. H. S., & Tan, B. (2026) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2026.2651345
Preparing for a New Era of Teamwork: Strategies for Teaming with Artificial Intelligence
Larson, L., & Harris, A. M. (2026) · Oxford University Press eBooks · doi:10.1093/9780197807309.003.0014
Guynup, C., Nguyen, H., Basappa, R., André, K., Yancey, M., Flathmann, C., McNeese, N. J., Toxtli, C., Madathil, K. C., & Gramopadhye, A. K. (2026) · IEEE Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA) · doi:10.1109/cogsima68896.2026.11481227
Self-citationTeaming Up with Artificial Agents in Non-routine Analytical Tasks
Cominelli, L., Galatolo, F. A., Giannetti, C., Dell’Orletta⋄, F., Ciaccio, C., Chapkovski, P., & Venturi⋄, G. (2026) · ACM Transactions on Human-Robot Interaction · doi:10.1145/3816428
Adaptive Biofeedback for Embodied Human-Robot Interaction: A Testbed
Stouder, K. I., Garrigan, C., McBride, M., Nats, J., Greene, K., Ferrell, P., Holman, D., Bostrom, S. R., Eng, C. M., de Visser, E. J., et al. (2026) · Systems and Information Engineering Design Symposium · doi:10.1109/sieds69358.2026.11540276
Adaptable and Hybrid Automation for Human–AI Task Allocation: Application to Call Center Supervision
Donat-Bouillud, L., & Amokrane, K. (2026) · Electronics · doi:10.3390/electronics15112452
What’s in a Name? Implications of AI Roles and Mind Perception for Human-AI Teams
Harris, A. M., Byun, C., & Larson, L. (2026) · Human Factors The Journal of the Human Factors and Ergonomics Society · doi:10.1177/00187208261457702
Pelechano, V., Mestre, A., Albert, M., & Gil, M. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.6958934
Autonomy in Complexity: Cognitive Superiority of Human-Autonomy Systems
Norlander, A. (2026) · IEEE Access · doi:10.1109/access.2026.3706306
Immersive Control Rooms for Human-Robot Teams
Bransky, K., Sweetser, P., & Fletcher, K. I. (2024) · ANU Open Research (Australian National University)
An Integrated Oversight Framework for Adaptive Instructional Systems
Estevam, M. C., Adlakha-Hutcheon, G., & Ojo, A. (2026) · Lecture notes in computer science · doi:10.1007/978-3-032-30015-7_28
Converting a Traditional Neural Network into a Quantum-Cognitive Model: A Tutorial
Maksymov, I. S. (2026) · Springer eBooks · doi:10.1007/978-3-032-25965-3_7
Interfacing Minds, Organizing Interactions: A Novel Human-AI Interaction Framework for Dyadic Teams
Merwin, E. R., Brennan, L., Gonzalez, G. M., Lazzara, E. H., & Keebler, J. R. (2026) · Lecture notes in computer science · doi:10.1007/978-3-032-30846-7_22
Peel, M. A., Landfair, J. T., Amazeen, P. G., & Cooke, N. J. (2026) · Journal of Cognitive Engineering and Decision Making · doi:10.1177/15553434261466014
Self-citationModel of Collective Judgment Formation for Sequential Teams in Information-Dense Scenarios
Mallick, R., Paletz, S. B. F., Kane, A. A., Do, K., Porter, A., Diep, M. M., & Fabian, C. A. (2026) · Proceedings of the Human Factors and Ergonomics Society Annual Meeting · doi:10.1177/10711813261475151
Old Theories, New Teams: Advancing Team Adaptation Theory for Human-Autonomy-Teams
Nols, T., Ulfert, A., & Gevers, J. (2026) · Organizational Psychology Review · doi:10.1177/20413866261478644
Ortolano, L. F., Gallegos, E. E., Paglioni, V., Conrad, S., & Blanchard, N. N. (2026) · doi:10.25675/3.027456
Hart, S., Steane, V., Parnell, K. J., Plant, K. L., Soorati, M. D., & Young, M. S. (2026) · Theoretical Issues in Ergonomics Science · doi:10.1080/1463922x.2026.2718460
Correa-Jullian, C. (2026) · eScholarship (California Digital Library) · doi:10.7922/g2vh5m7q
Who (or What) Is a Teammate? A Conceptual Foundation for Human-Technology Teaming
Moore, M. J., Bell, E. A., Wentworth, A. N., Traylor, A., Shuffler, M. L., & Salas, E. (2026) · Small Group Research · doi:10.1177/10464964261478624
Effective training and support of ICU teams: The cornerstone for improved patient and staff outcomes
Fernandes, S. M., Pinto, I., Fernandes, G., Correia, C. S., & Barach, P. R. (2026) · Journal of Critical Care · doi:10.1016/j.jcrc.2026.155733
Zhao, J., & Rau, P. P. (2026) · Applied Ergonomics · doi:10.1016/j.apergo.2026.104889
A Human–Agent Trust Calibration Model for HFE Practitioners in Partial Mission Capable Recovery
Compierchio, A., Tretten, P., & Illankoon, P. (2026) · Safety · doi:10.3390/safety12050117
de Melo, M. C., Rocha, M. A. D., Brandão, S. S., & Dias, J. L. A. (2026) · Revista de Geopolítica · doi:10.56238/revgeov17n5-154
GENERATIVE AI AS TEAM PARTNER: A TAXONOMY OF ROLES FROM A SYSTEMATIC LITERATURE REVIEW
de Melo, M. C., Rocha, M. A. D., Brandão, S. S., & Dias, J. L. A. (2026) · Revista de Geopolítica · doi:10.56238/revgeov17n5-156
de Melo, M. C., Rocha, M. A. D., Brandão, S. S., & Dias, J. L. A. (2026) · Revista de Geopolítica · doi:10.56238/revgeov17n5-157
de Melo, M. C., Rocha, M. A. D., Brandão, S. S., & Dias, J. L. A. (2026) · Revista de Geopolítica · doi:10.56238/revgeov17n5-153
Wu, Z., Wang, J., Zhu, Y., & Liu, J. (2026) · Automation in Construction · doi:10.1016/j.autcon.2026.107276
Duan, W., Zhang, R., Weng, N., Freeman, G., & McNeese, N. J. (2026) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3816906
Self-citationA Systematic Review of Knowledge Management in Community-based Social Service Organizations
Jo, J., Angst, C. M., Anuyah, O., Badillo-Urquiola, K. A., & Metoyer, R. (2026) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3816895
When AI Joins the Team: Exploring Team Development Interventions in Human-AI Teaming
Bell, L. (2026) · TigerPrints (Clemson University)
Relational Role Attribution: A Unifying Construct in Human–AI Interaction
Gazzanigo, M. J., & Yang, X. (2026) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2026.2740846
Assessment of New Competencies for Human - AI Teaming in Air Traffic Control
Tuncal, A., & Dursun, E. (2026) · Human factors in aviation and aerospace. · doi:10.26650/hfaa.2026.1965760
Measuring the spread of trust and distrust through influence in human-autonomy teams
Doost, E. Z., Gorman, J. C., Scalia, M. J., Zhou, S., Yin, X., Hao, R., McNeese, N. J., Duan, W., Freeman, G., Funke, G. J., et al. (2026) · Ergonomics · doi:10.1080/00140139.2026.2738039
Self-citationWang, Y., Weng, N., Basappa, R., Still, B., Flathmann, C., & McNeese, N. J. (2026) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2026.2751909
Self-citationIkejima, S., Ohara, R., Koseki, Y., Narumi, T., & Kuzuoka, H. (2026) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3831338
Al-Harbi, R., Al-Qahtani, O., & Nasser, S. (2025) · Journal of Smart Grids Energy Analytics and Optimization · doi:10.68159/s039828529
Trust and competence calibration in leadership assignment for multi-agent systems
More, A. M. E., & Lau, N. K. C. (2026) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2026.103972
Developing and validating the human-AI collaboration competency scale
Kim, H., Ham, E. H., & Cho, Y. H. (2026) · Educational Technology Research and Development · doi:10.1007/s11423-026-10753-5
LLM-Judge Behavioral Coding Scheme for Agent Teammate Quality
Toxtli, C., & Delaflor, M. (2026) · International Conference on Human-Agent Interaction (HAI) · doi:10.1145/3841580.3841596
Metadata
- Authors
- McNeese, N. J., Demir, M., Cooke, N. J., & Myers, C.
- Affiliations
- Clemson University (US)
- Arizona State University (US)
- United States Air Force Research Laboratory (US)
- Corresponding author
- McNeese, Nathan J.
- Venue
- Human Factors: The Journal of the Human Factors and Ergonomics Society
- Publisher
- SAGE Publications
- Published
- 2017-11-29
- Volume
- 60
- Issue
- 2
- Pages
- 262-273
- ISSN
- 0018-7208 (ISSN-L)
- 1547-8181
- OpenAlex
- W2770836081
- Cited by
- 380
- References
- 24
- Citations by year
- 2026: 66 · 2025: 74 · 2024: 60 · 2023: 52 · 2022: 44 · 2021: 35 · 2020: 26 · 2019: 15 · 2018: 6 · 2017: 1
- FWCI
- 17.07
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- journals.sagepub.com/page/policies/text-and-data-mining-license (tdm)
- Locations
- Human Factors The Journal of the Human Factors and Ergonomics Society (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Office of Naval Research
- Topics
- Social Sciences › Human Factors and Ergonomics › Human-Automation Interaction and Safety
- Social Sciences › Psychology › Social Psychology › Team Dynamics and Performance
- Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
- Keywords
- human-autonomy teaming, unmanned aerial systems, team performance, team situation awareness, human-automation interaction, team structure, pilot experience
- MeSH terms
- Pilots, Adult, Automation, Awareness, Cooperative Behavior, Humans, Man-Machine Systems, Psychomotor Performance, Verbal Behavior
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.