B. Anil Kumar

594 citations
36 papers · 411 · h-index 13

Impact in

    • Transportation Planning and Optimization
    • Human Mobility and Location-Based Analysis
    • Urban Transport and Accessibility
    • Traffic Prediction and Management Techniques

Papers in

B. Anil Kumar

34 papers receiving 389 citations

Peers

B. Anil Kumar
Comparison fields: 5 of 46
  • Transportation 339
  • Building and Construction 351
  • Control and Systems Engineering 146
  • Automotive Engineering 48
  • Industrial and Manufacturing Engineering 29
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Natalia Isaenko Italy
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Citations per year

Countries citing papers authored by B. Anil Kumar

Since Specialization
Citations

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

Fields of papers citing papers by B. Anil Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by B. Anil Kumar. 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 B. Anil Kumar. The network helps show where B. Anil Kumar may publish in the future.

Co-authors

The 11 scholars most cited alongside B. Anil Kumar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with B. Anil Kumar Line = papers co-authored together B. Anil Kumar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201773
2 201944
3 201734
4
Comparison of Model Based and Machine Learning Approaches for Bus Arrival Time Prediction
201422
5 201622
6 201722
7 202018
8
Pattern-Based Bus Travel Time Prediction under Heterogeneous Traffic Conditions
201417
9 201917
10 201816
11 202014
12 201614
13 201713
14 201512
15 20219
16 20139
17 20179
18 20225
19 20205
20 20174

About B. Anil Kumar

B. Anil Kumar is a scholar working on Building and Construction, Transportation, Control and Systems Engineering, Automotive Engineering and Safety, Risk, Reliability and Quality, having authored 36 papers that have together received 411 indexed citations. Recurring topics across this work include Traffic Prediction and Management Techniques (30 papers), Transportation Planning and Optimization (26 papers), Human Mobility and Location-Based Analysis (13 papers), Traffic control and management (10 papers), Autonomous Vehicle Technology and Safety (4 papers), Traffic and Road Safety (3 papers), Data Management and Algorithms (2 papers) and Vehicle emissions and performance (2 papers). The work is most often cited by research in Transportation (339 citations), Building and Construction (351 citations), Control and Systems Engineering (146 citations), Automotive Engineering (48 citations) and Industrial and Manufacturing Engineering (29 citations). B. Anil Kumar has collaborated with scholars based in India, Australia and Canada. Frequent co-authors include Lelitha Vanajakshi, Shankar C. Subramanian, Shriniwas Arkatkar, Vivek Kumar, Rakesh K. Behera, Piyush Pandey, Manoj Panda, Justin Dauwels, Manoj K. Jha and Shalini Rankavat. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, IEEE Access, Journal of Intelligent Transportation Systems, Transportation Research Part C Emerging Technologies and Current Science.

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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