Tabish Rashid

2.2k total citations
7 papers, 134 citations indexed

About

Tabish Rashid is a scholar working on Artificial Intelligence, Computer Networks and Communications and Management Science and Operations Research. According to data from OpenAlex, Tabish Rashid has authored 7 papers receiving a total of 134 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 3 papers in Computer Networks and Communications and 3 papers in Management Science and Operations Research. Recurrent topics in Tabish Rashid's work include Reinforcement Learning in Robotics (6 papers), Adversarial Robustness in Machine Learning (2 papers) and Neural dynamics and brain function (1 paper). Tabish Rashid is often cited by papers focused on Reinforcement Learning in Robotics (6 papers), Adversarial Robustness in Machine Learning (2 papers) and Neural dynamics and brain function (1 paper). Tabish Rashid collaborates with scholars based in United Kingdom and Armenia. Tabish Rashid's co-authors include Jason R. C. Nurse, Ioannis Agrafiotis, Shimon Whiteson, Mikayel Samvelyan, Anuj Mahajan, Gregory Farquhar, Bei Peng, Jakob Foerster, Cheng Zhang and Nantas Nardelli and has published in prestigious journals such as arXiv (Cornell University), Kent Academic Repository (University of Kent) and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Tabish Rashid

7 papers receiving 131 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tabish Rashid United Kingdom	4	88	83	50	36	12	7	134
Ulrich Flegel Germany	7	75 0.9×	85 1.0×	50 1.0×	56 1.6×	26 2.2×	24	129
Wanlun Ma Australia	8	103 1.2×	51 0.6×	39 0.8×	37 1.0×	14 1.2×	18	187
Sajedul Talukder United States	8	65 0.7×	43 0.5×	58 1.2×	48 1.3×	8 0.7×	28	147
Rodrigo Díaz Spain	6	51 0.6×	105 1.3×	97 1.9×	41 1.1×	5 0.4×	13	171
Yuchao Huang Canada	5	79 0.9×	54 0.7×	115 2.3×	30 0.8×	3 0.3×	8	229
Sigrid Gürgens Germany	8	81 0.9×	62 0.7×	68 1.4×	23 0.6×	24 2.0×	19	137
Idowu Dauda Oladipo Nigeria	7	82 0.9×	91 1.1×	28 0.6×	55 1.5×	5 0.4×	12	149
Marc Lacoste France	8	71 0.8×	89 1.1×	71 1.4×	36 1.0×	22 1.8×	23	141
Phillip Rieger Germany	7	138 1.6×	76 0.9×	27 0.5×	31 0.9×	11 0.9×	10	176
Dan Vodislav France	6	91 1.0×	87 1.0×	44 0.9×	53 1.5×	9 0.8×	13	141

Countries citing papers authored by Tabish Rashid

Since Specialization

Citations

This map shows the geographic impact of Tabish Rashid'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 Tabish Rashid with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tabish Rashid more than expected).

Fields of papers citing papers by Tabish Rashid

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tabish Rashid. 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 Tabish Rashid. The network helps show where Tabish Rashid may publish in the future.

Co-authorship network of co-authors of Tabish Rashid

This figure shows the co-authorship network connecting the top 25 collaborators of Tabish Rashid. A scholar is included among the top collaborators of Tabish Rashid 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 Tabish Rashid. Tabish Rashid is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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7 of 7 papers shown

1.

Rashid, Tabish, et al.. (2021). Softmax with Regularization: Better Value Estimation in Multi-Agent Reinforcement Learning.. arXiv (Cornell University). 1 indexed citations

2.

Rashid, Tabish, et al.. (2021). Estimating α-Rank by Maximizing Information Gain. Proceedings of the AAAI Conference on Artificial Intelligence. 35(6). 5673–5681. 3 indexed citations

3.

Rashid, Tabish, Gregory Farquhar, Bei Peng, & Shimon Whiteson. (2020). Weighted QMIX: Expanding Monotonic Value Function Factorisation.. arXiv (Cornell University). 8 indexed citations

4.

Rashid, Tabish, et al.. (2020). Optimistic Exploration even with a Pessimistic Initialisation. arXiv (Cornell University). 3 indexed citations

5.

Samvelyan, Mikayel, Tabish Rashid, Christian Schroeder de Witt, et al.. (2019). The StarCraft Multi-Agent Challenge. arXiv (Cornell University). 2186–2188. 5 indexed citations

6.

Mahajan, Anuj, Tabish Rashid, Mikayel Samvelyan, & Shimon Whiteson. (2019). MAVEN: Multi-Agent Variational Exploration. arXiv (Cornell University). 32. 7611–7622. 17 indexed citations

7.

Rashid, Tabish, Ioannis Agrafiotis, & Jason R. C. Nurse. (2016). A New Take on Detecting Insider Threats. Kent Academic Repository (University of Kent). 47–56. 97 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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