James Z. Hare

533 total citations
34 papers, 402 citations indexed

About

James Z. Hare is a scholar working on Artificial Intelligence, Computer Networks and Communications and Control and Systems Engineering. According to data from OpenAlex, James Z. Hare has authored 34 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 11 papers in Computer Networks and Communications and 7 papers in Control and Systems Engineering. Recurrent topics in James Z. Hare's work include Distributed Sensor Networks and Detection Algorithms (6 papers), Energy Efficient Wireless Sensor Networks (6 papers) and Underwater Vehicles and Communication Systems (5 papers). James Z. Hare is often cited by papers focused on Distributed Sensor Networks and Detection Algorithms (6 papers), Energy Efficient Wireless Sensor Networks (6 papers) and Underwater Vehicles and Communication Systems (5 papers). James Z. Hare collaborates with scholars based in United States. James Z. Hare's co-authors include Shalabh Gupta, Ali M. Bazzi, Lance Kaplan, Thomas A. Wettergren, Shengli Zhou, Sherif Kandil, Ali Jadbabaie, César A. Uribe, Sue E. Kase and B.C. Rinderspacher and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, IEEE Transactions on Signal Processing and Frontiers in Psychology.

In The Last Decade

James Z. Hare

32 papers receiving 387 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
James Z. Hare United States 11 198 166 81 73 43 34 402
Wei Peng China 13 170 0.9× 399 2.4× 93 1.1× 97 1.3× 23 0.5× 54 623
Yunkai Wu China 12 417 2.1× 92 0.6× 78 1.0× 45 0.6× 60 1.4× 35 611
Quanbo Ge China 13 101 0.5× 160 1.0× 146 1.8× 40 0.5× 80 1.9× 60 424
Xingzhen Bai China 13 239 1.2× 261 1.6× 99 1.2× 221 3.0× 15 0.3× 71 592
Afshin Rahimi Canada 12 294 1.5× 57 0.3× 99 1.2× 45 0.6× 71 1.7× 60 592
Feng Xue China 12 100 0.5× 91 0.5× 98 1.2× 76 1.0× 30 0.7× 50 388
Carlos C. Insaurralde United Kingdom 11 129 0.7× 46 0.3× 121 1.5× 58 0.8× 44 1.0× 90 449
Muhammad Ilyas Menhas China 12 98 0.5× 125 0.8× 120 1.5× 48 0.7× 32 0.7× 30 391
Xiaohong Wang China 13 428 2.2× 94 0.6× 55 0.7× 40 0.5× 19 0.4× 49 634

Countries citing papers authored by James Z. Hare

Since Specialization
Citations

This map shows the geographic impact of James Z. Hare's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by James Z. Hare with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Z. Hare more than expected).

Fields of papers citing papers by James Z. Hare

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James Z. Hare. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by James Z. Hare. The network helps show where James Z. Hare may publish in the future.

Co-authorship network of co-authors of James Z. Hare

This figure shows the co-authorship network connecting the top 25 collaborators of James Z. Hare. A scholar is included among the top collaborators of James Z. Hare based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with James Z. Hare. James Z. Hare is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Hare, James Z., Yuchen Liang, Lance Kaplan, & Venugopal V. Veeravalli. (2025). Bayesian Two-Sample Hypothesis Testing Using the Uncertain Likelihood Ratio: Improving the Generalized Likelihood Ratio Test. IEEE Transactions on Signal Processing. 73. 1410–1425. 1 indexed citations
2.
Hare, James Z., Lance Kaplan, Venugopal V. Veeravalli, & Don Towsley. (2025). Keeping the Best: The K-Best rule for Efficient Quickest Change Detection with Unknown Post-Change Distribution. 1–5. 1 indexed citations
3.
Hare, James Z., et al.. (2025). Track-MDP: Reinforcement Learning for Target Tracking with Controlled Sensing. 1–5. 1 indexed citations
4.
5.
Hare, James Z., et al.. (2024). Adversarial attacks on reinforcement learning agents for command and control. The Journal of Defense Modeling and Simulation Applications Methodology Technology. 23(1). 177–190. 1 indexed citations
6.
Hare, James Z., Yuchen Liang, Lance Kaplan, & Venugopal V. Veeravalli. (2024). On Network Quickest Change Detection with Uncertain Models: An Experimental Study. 1–8. 1 indexed citations
7.
Hare, James Z. & Lance Kaplan. (2023). Improved Small Sample Hypothesis Testing Using the Uncertain Likelihood Ratio. 1–5. 3 indexed citations
8.
Kase, Sue E., et al.. (2022). The Future of Collaborative Human-Artificial Intelligence Decision-Making for Mission Planning. Frontiers in Psychology. 13. 850628–850628. 17 indexed citations
9.
Hare, James Z. & Lance Kaplan. (2022). Uncertainty-Aware Quickest Change Detection: An Experimental Study. 1–8. 1 indexed citations
10.
Hare, James Z., et al.. (2020). POSE.R. ACM Transactions on Sensor Networks. 17(1). 1–41. 7 indexed citations
11.
Hare, James Z., Shalabh Gupta, & Thomas A. Wettergren. (2019). POSE.3C: Prediction-Based Opportunistic Sensing Using Distributed Classification, Clustering, and Control in Heterogeneous Sensor Networks. IEEE Transactions on Control of Network Systems. 6(4). 1438–1450. 5 indexed citations
12.
Hare, James Z., et al.. (2017). Classification induced distributed sensor scheduling for energy-efficiency in underwater target tracking sensor networks. 3 indexed citations
13.
Hare, James Z., Shalabh Gupta, & Thomas A. Wettergren. (2017). POSE: Prediction-Based Opportunistic Sensing for Energy Efficiency in Sensor Networks Using Distributed Supervisors. IEEE Transactions on Cybernetics. 48(7). 2114–2127. 20 indexed citations
14.
Hare, James Z., et al.. (2016). Fault diagnostics in smart micro-grids: A survey. Renewable and Sustainable Energy Reviews. 60. 1114–1124. 143 indexed citations
15.
Hare, James Z., et al.. (2014). Distributed smart sensor scheduling for underwater target tracking. 1–6. 10 indexed citations
16.
Gupta, Shalabh, et al.. (2014). SLAM based adaptive navigation of AUVs for oil spill cleaning. 1–6. 8 indexed citations
17.
Gupta, Shalabh, et al.. (2014). Game-theoretic cooperative coverage using autonomous vehicles. 1–6. 8 indexed citations
18.
Hare, James Z., et al.. (2014). A review of faults and fault diagnosis in micro-grids electrical energy infrastructure. 3325–3332. 12 indexed citations
19.
Gupta, Shalabh, et al.. (2013). Adaptive cleaning of oil spills by autonomous vehicles under partial information. 2013 OCEANS - San Diego. 1–5. 21 indexed citations
20.
Hare, James Z., et al.. (2013). Heat Exchanger Fouling Diagnosis for an Aircraft Air-Conditioning System. SAE technical papers on CD-ROM/SAE technical paper series. 1. 17 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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