Lior Seeman

868 total citations
8 papers, 90 citations indexed

About

Lior Seeman is a scholar working on Management Science and Operations Research, Computer Networks and Communications and Statistical and Nonlinear Physics. According to data from OpenAlex, Lior Seeman has authored 8 papers receiving a total of 90 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Management Science and Operations Research, 3 papers in Computer Networks and Communications and 3 papers in Statistical and Nonlinear Physics. Recurrent topics in Lior Seeman's work include Game Theory and Applications (5 papers), Complexity and Algorithms in Graphs (3 papers) and Complex Network Analysis Techniques (3 papers). Lior Seeman is often cited by papers focused on Game Theory and Applications (5 papers), Complexity and Algorithms in Graphs (3 papers) and Complex Network Analysis Techniques (3 papers). Lior Seeman collaborates with scholars based in United States and France. Lior Seeman's co-authors include Yaron Singer, Rafael Pass, Joseph Y. Halpern, Aviad Rubinstein, Johannes Gehrke, Konstantinos Mamouras, Łucja Kot, Sigal Oren and Joe Halpern and has published in prestigious journals such as Proceedings of the VLDB Endowment, Games and Economic Behavior and Topics in Cognitive Science.

In The Last Decade

Lior Seeman

7 papers receiving 88 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lior Seeman United States	4	63	33	18	15	14	8	90
Mahyar Salek United States	5	30 0.5×	55 1.7×	17 0.9×	49 3.3×	13 0.9×	7	117
Joshua Shinavier United States	5	37 0.6×	20 0.6×	28 1.6×	66 4.4×	7 0.5×	9	109
Hamidreza Alvari United States	7	74 1.2×	12 0.4×	15 0.8×	36 2.4×	42 3.0×	12	132
Rupinder Paul Khandpur United States	6	30 0.5×	7 0.2×	31 1.7×	43 2.9×	27 1.9×	8	109
Julien Pérolat United Kingdom	6	10 0.2×	41 1.2×	12 0.7×	76 5.1×	23 1.6×	13	120
Nicholas Andrews United States	8	23 0.4×	19 0.6×	7 0.4×	195 13.0×	18 1.3×	21	235
Gautam Kamath United States	7	14 0.2×	8 0.2×	8 0.4×	81 5.4×	11 0.8×	19	112
Pritam Gundecha United States	9	36 0.6×	11 0.3×	50 2.8×	70 4.7×	50 3.6×	13	174
Thomas Lücking Germany	7	22 0.3×	129 3.9×	58 3.2×	7 0.5×	5 0.4×	13	169
Mehdi Allahyari United States	9	10 0.2×	26 0.8×	13 0.7×	100 6.7×	8 0.6×	12	135

Countries citing papers authored by Lior Seeman

Since Specialization

Citations

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

Fields of papers citing papers by Lior Seeman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lior Seeman

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Halpern, Joe, Rafael Pass, & Lior Seeman. (2021). I'm Doing as Well as I Can: Modeling People as Rational Finite Automata. Proceedings of the AAAI Conference on Artificial Intelligence. 26(1). 1917–1923.

2.

Halpern, Joseph Y., Rafael Pass, & Lior Seeman. (2019). The truth behind the myth of the Folk theorem. Games and Economic Behavior. 117. 479–498. 1 indexed citations

3.

Halpern, Joseph Y., Rafael Pass, & Lior Seeman. (2016). Computational Extensive-Form Games. 681–698. 2 indexed citations

4.

Rubinstein, Aviad, Lior Seeman, & Yaron Singer. (2015). Approximability of Adaptive Seeding under Knapsack Constraints. 797–814. 5 indexed citations

5.

Halpern, Joseph Y., Rafael Pass, & Lior Seeman. (2014). Decision Theory with Resource‐Bounded Agents. Topics in Cognitive Science. 6(2). 245–257. 8 indexed citations

6.

Halpern, Joseph Y., Rafael Pass, & Lior Seeman. (2014). The truth behind the myth of the folk theorem. 543–554. 4 indexed citations

7.

Seeman, Lior & Yaron Singer. (2013). Adaptive Seeding in Social Networks. 459–468. 69 indexed citations

8.

Mamouras, Konstantinos, Sigal Oren, Lior Seeman, Łucja Kot, & Johannes Gehrke. (2012). The complexity of social coordination. Proceedings of the VLDB Endowment. 5(11). 1172–1183. 1 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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