Sriniwasa P. N. Kumar

808 total citations · 1 hit paper
3 papers, 545 citations indexed

About

Sriniwasa P. N. Kumar is a scholar working on Automotive Engineering, Health, Toxicology and Mutagenesis and Environmental Engineering. According to data from OpenAlex, Sriniwasa P. N. Kumar has authored 3 papers receiving a total of 545 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Automotive Engineering, 3 papers in Health, Toxicology and Mutagenesis and 3 papers in Environmental Engineering. Recurrent topics in Sriniwasa P. N. Kumar's work include Air Quality Monitoring and Forecasting (3 papers), Air Quality and Health Impacts (3 papers) and Vehicle emissions and performance (3 papers). Sriniwasa P. N. Kumar is often cited by papers focused on Air Quality Monitoring and Forecasting (3 papers), Air Quality and Health Impacts (3 papers) and Vehicle emissions and performance (3 papers). Sriniwasa P. N. Kumar collaborates with scholars based in United States and Canada. Sriniwasa P. N. Kumar's co-authors include Naomi Zimmerman, Albert A. Presto, Aliaksei Hauryliuk, Allen L. Robinson, Jason Gu, Ellis S. Robinson, Carl Malings, Levent Burak Kara, Rebecca Tanzer and R. Subramanian and has published in prestigious journals such as Atmospheric measurement techniques.

In The Last Decade

Sriniwasa P. N. Kumar

3 papers receiving 531 citations

Hit Papers

1 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A machine learning calibration model using random forests to improve sensor performance for lower-cost air quality monitoring

2018 384 citations Naomi Zimmerman, Albert A. Presto et al. Atmospheric measurement techniques profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sriniwasa P. N. Kumar United States	3	494	361	149	105	91	3	545
Brandon Feenstra United States	11	486 1.0×	432 1.2×	235 1.6×	102 1.0×	45 0.5×	18	580
Maria Gabriella Villani Italy	9	677 1.4×	459 1.3×	182 1.2×	148 1.4×	168 1.8×	16	777
Ryan Brown United States	6	473 1.0×	398 1.1×	180 1.2×	105 1.0×	57 0.6×	7	517
Vasileios Papapostolou United States	14	523 1.1×	512 1.4×	218 1.5×	159 1.5×	56 0.6×	26	675
Ashley Collier-Oxandale United States	14	468 0.9×	304 0.8×	161 1.1×	66 0.6×	144 1.6×	19	637
Robert Judge United States	4	398 0.8×	332 0.9×	144 1.0×	84 0.8×	53 0.6×	9	449
Jorge Isaías Caicedo Reyes Chile	4	519 1.1×	409 1.1×	108 0.7×	199 1.9×	31 0.3×	9	571
Wan Jiao United States	8	393 0.8×	359 1.0×	135 0.9×	102 1.0×	48 0.5×	9	480
Borowiak Annette Italy	10	530 1.1×	298 0.8×	283 1.9×	241 2.3×	79 0.9×	24	643
Rebecca Tanzer United States	4	374 0.8×	344 1.0×	145 1.0×	77 0.7×	35 0.4×	5	431

Countries citing papers authored by Sriniwasa P. N. Kumar

Since Specialization

Citations

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

Fields of papers citing papers by Sriniwasa P. N. Kumar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sriniwasa P. N. 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 Sriniwasa P. N. Kumar. The network helps show where Sriniwasa P. N. Kumar may publish in the future.

Co-authorship network of co-authors of Sriniwasa P. N. Kumar

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

All Works

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3 of 3 papers shown

1.

Malings, Carl, Rebecca Tanzer, Aliaksei Hauryliuk, et al.. (2019). Development of a general calibration model and long-term performance evaluation of low-cost sensors for air pollutant gas monitoring. Atmospheric measurement techniques. 12(2). 903–920. 134 indexed citations

2.

Zimmerman, Naomi, Albert A. Presto, Sriniwasa P. N. Kumar, et al.. (2018). A machine learning calibration model using random forests to improve sensor performance for lower-cost air quality monitoring. Atmospheric measurement techniques. 11(1). 291–313. 384 indexed citations breakdown →

3.

Zimmerman, Naomi, Albert A. Presto, Sriniwasa P. N. Kumar, et al.. (2017). Closing the gap on lower cost air quality monitoring: machine learning calibration models to improve low-cost sensor performance. 27 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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