Ajay K. Rathi

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 Traffic Prediction and Management Techniques (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 Traffic Prediction and Management Techniques (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, Patricia S. Hu, Shaw‐Pin Miaou, Tommy Wright, Stacy Cagle Davis, 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

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ajay K. Rathi United States	9	317	282	219	115	61	27	497
Harilaos N Koutsopoulos Sweden	8	306 1.0×	218 0.8×	182 0.8×	89 0.8×	137 2.2×	23	550
L H Immers Belgium	11	413 1.3×	388 1.4×	290 1.3×	48 0.4×	58 1.0×	23	561
Richard Margiotta United States	9	291 0.9×	187 0.7×	233 1.1×	101 0.9×	98 1.6×	39	443
Kyriacos C. Mouskos United States	13	257 0.8×	178 0.6×	241 1.1×	115 1.0×	83 1.4×	38	426
Yannis Pavlis United States	5	310 1.0×	362 1.3×	283 1.3×	75 0.7×	82 1.3×	8	450
Jordi Casas Spain	10	312 1.0×	292 1.0×	224 1.0×	64 0.6×	137 2.2×	44	486
David Branston United Kingdom	8	374 1.2×	334 1.2×	252 1.2×	52 0.5×	74 1.2×	12	471
Tom Urbanik United States	8	325 1.0×	457 1.6×	310 1.4×	122 1.1×	148 2.4×	16	581
Henk Taale Netherlands	14	357 1.1×	424 1.5×	248 1.1×	74 0.6×	172 2.8×	65	557
T.L. Pan Hong Kong	11	401 1.3×	451 1.6×	359 1.6×	70 0.6×	91 1.5×	17	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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20 of 20 papers shown

1.

Kumar, Bhuvnesh, et al.. (2019). Dose‐dependent study of effects of 532‐nm continuous wave laser on rat skin: A mechanistic insight. Journal of Biophotonics. 12(10). e201800484–e201800484. 4 indexed citations

2.

Rathi, Ajay K., et al.. (2009). Enabling the adoption of aspects - testing aspects. 197–206. 8 indexed citations

3.

Gartner, Nathan H., et al.. (2002). Traffic Flow Theory - A State-of-the-Art Report: Revised Monograph on Traffic Flow Theory. 84 indexed citations

4.

Rathi, Ajay K., et al.. (1996). Comparison of NETSIM, NETFLO I, and NETFLO II Traffic Simulation Models for Fixed-Time Signal Control. Transportation Research Record Journal of the Transportation Research Board. 1566. 20–30. 8 indexed citations

5.

Rathi, Ajay K., et al.. (1996). Comparison of NETSIM, NETFLO I, and NETFLO II Traffic Simulation Models for Fixed-Time Signal Control. Transportation Research Record Journal of the Transportation Research Board. 1566(1). 20–30. 2 indexed citations

6.

Rathi, Ajay K., et al.. (1995). Statistical Analysis and Validation of Multipopulation Traffic Simulation Experiments. Transportation Research Record Journal of the Transportation Research Board. 35–44. 1 indexed citations

7.

Lo, Hong K., et al.. (1994). Evaluation Framework for IVHS. Journal of Transportation Engineering. 120(3). 447–460. 4 indexed citations

8.

Rathi, Ajay K., et al.. (1993). Simulation of traffic flow during emergency evacuations. 1250–1258. 34 indexed citations

9.

Miaou, Shaw‐Pin, Patricia S. Hu, Tommy Wright, Ajay K. Rathi, & Stacy Cagle Davis. (1992). RELATIONSHIP BETWEEN TRUCK ACCIDENTS AND HIGHWAY GEOMETRIC DESIGN: A POISSON REGRESSION APPROACH. Transportation Research Record Journal of the Transportation Research Board. 81 indexed citations

10.

Rathi, Ajay K. & Mohan Venigalla. (1992). VARIANCE REDUCTION APPLIED TO URBAN NETWORK TRAFFIC SIMULATION (WITH DISCUSSION AND CLOSURE). Transportation Research Record Journal of the Transportation Research Board. 2 indexed citations

11.

Venigalla, Mohan, Richard Margiotta, Arun Chatterjee, Ajay K. Rathi, & David B. Clarke. (1992). OPERATIONAL EFFECTS OF NONTRAVERSABLE MEDIANS AND TWO-WAY LEFT-TURN LANES: A COMPARISON. Transportation Research Record Journal of the Transportation Research Board. 5 indexed citations

12.

Rathi, Ajay K.. (1992). The use of common random numbers to reduce the variance in network simulation of traffic. Transportation Research Part B Methodological. 26(5). 357–363. 6 indexed citations

13.

Rathi, Ajay K. & Mohan Venigalla. (1991). VARIANCE REDUCTION APPLIED TO URBAN NETWORK TRAFFIC SIMULATION.. 9 indexed citations

14.

Rathi, Ajay K. & A J Santiago. (1990). Urban Network Traffic Simulations: TRAF‐NETSIM Program. Journal of Transportation Engineering. 116(6). 734–743. 18 indexed citations

15.

Rathi, Ajay K., et al.. (1989). EFFECTIVENESS OF TRAFFIC RESTRAINT FOR A CONGESTED URBAN NETWORK: A SIMULATION STUDY. Transportation Research Record Journal of the Transportation Research Board. 17 indexed citations

16.

Rathi, Ajay K., et al.. (1987). ENHANCED FREFLO: MODELING OF CONGESTED ENVIRONMENTS. Transportation Research Record Journal of the Transportation Research Board. 4 indexed citations

17.

Rathi, Ajay K., et al.. (1986). FREESIM: A MICROSCOPIC SIMULATION MODEL OF FREEWAY LANE CLOSURES (ABRIDGMENT). Transportation Research Record Journal of the Transportation Research Board. 5 indexed citations

18.

Rathi, Ajay K., et al.. (1986). A simulation model of freeway lane closures. SIMULATION. 47(2). 51–57. 4 indexed citations

19.

Rathi, Ajay K., et al.. (1985). POTENTIAL IMPACT OF SPEED REDUCTION AT FREEWAY LANE CLOSURES: A SIMULATION STUDY (ABRIDGMENT). Transportation Research Record Journal of the Transportation Research Board. 7 indexed citations

20.

Rathi, Ajay K.. (1983). Development of a microscopic simulation model for freeway lane closures /. OhioLink ETD Center (Ohio Library and Information Network). 2 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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