Ajay K. Rathi

31 total papers · 664 total citations
27 papers, 497 citations indexed

About

Ajay K. Rathi is a scholar working on Control and Systems Engineering, Transportation and Management Science and Operations Research. According to data from OpenAlex, Ajay K. Rathi has authored 27 papers receiving a total of 497 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Control and Systems Engineering, 10 papers in Transportation and 10 papers in Management Science and Operations Research. Recurrent topics in Ajay K. Rathi's work include Traffic control and management (14 papers), Transportation Planning and Optimization (10 papers) and Simulation Techniques and Applications (9 papers). Ajay K. Rathi is often cited by papers focused on Traffic control and management (14 papers), Transportation Planning and Optimization (10 papers) and Simulation Techniques and Applications (9 papers). Ajay K. Rathi collaborates with scholars based in United States, New Zealand and India. Ajay K. Rathi's co-authors include Nathan H. Gartner, Rekha Pillai, Suvrajeet Sen, Stacy Cagle Davis, Tommy Wright, Patricia S. Hu, Shaw‐Pin Miaou, Rekha Sukamar Pillai, Stephen L. Cohen and A J Santiago and has published in prestigious journals such as Transportation Research Part B Methodological, Computers & Operations Research and Transportation Science.

In The Last Decade

Ajay K. Rathi

26 papers receiving 435 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ajay K. Rathi 317 280 219 115 61 27 497
Shou-Ren Hu 294 0.9× 162 0.6× 259 1.2× 123 1.1× 73 1.2× 42 493
Harilaos N Koutsopoulos 305 1.0× 217 0.8× 182 0.8× 88 0.8× 136 2.2× 23 548
L H Immers 412 1.3× 386 1.4× 290 1.3× 47 0.4× 57 0.9× 23 557
Lianyu Chu 401 1.3× 341 1.2× 372 1.7× 57 0.5× 112 1.8× 44 613
D L Gerlough 311 1.0× 427 1.5× 308 1.4× 102 0.9× 90 1.5× 19 608
Jordi Casas 313 1.0× 292 1.0× 224 1.0× 64 0.6× 137 2.2× 44 485
Nedal T. Ratrout 254 0.8× 225 0.8× 256 1.2× 187 1.6× 101 1.7× 47 596
T.L. Pan 401 1.3× 449 1.6× 358 1.6× 69 0.6× 87 1.4× 17 577
Paul Ryus 399 1.3× 145 0.5× 192 0.9× 148 1.3× 101 1.7× 40 552
Qi Yang 327 1.0× 308 1.1× 231 1.1× 48 0.4× 103 1.7× 44 583

Countries citing papers authored by Ajay K. Rathi

Since Specialization
Citations

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

Fields of papers citing papers by Ajay K. Rathi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ajay K. Rathi. 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 Ajay K. Rathi. The network helps show where Ajay K. Rathi may publish in the future.

Co-authorship network of co-authors of Ajay K. Rathi

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

All Works

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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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