Russell E. Train

53 total papers · 2.3k total citations
19 papers, 1.5k citations indexed

About

Russell E. Train is a scholar working on Aerospace Engineering, Automotive Engineering and Pollution. According to data from OpenAlex, Russell E. Train has authored 19 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Aerospace Engineering, 1 paper in Automotive Engineering and 1 paper in Pollution. Recurrent topics in Russell E. Train's work include Atmospheric chemistry and aerosols (1 paper), International Environmental Law and Policies (1 paper) and Noise Effects and Management (1 paper). Russell E. Train is often cited by papers focused on Atmospheric chemistry and aerosols (1 paper), International Environmental Law and Policies (1 paper) and Noise Effects and Management (1 paper). Russell E. Train collaborates with scholars based in United States and Ireland. Russell E. Train's co-authors include Roy E. Albert, Élizabeth Anderson, David L. Barnes and Luther J. Carter and has published in prestigious journals such as Science, JNCI Journal of the National Cancer Institute and American Water Works Association.

In The Last Decade

Russell E. Train

13 papers receiving 1.2k citations

Hit Papers

Quality criteria for water 1979 2026 1994 2010 1979 400 800 1.2k

Author Peers

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

Author Last Decade Papers Cites
Russell E. Train 562 410 317 303 237 19 1.5k
Timothy J. Canfield 440 0.8× 498 1.2× 439 1.4× 392 1.3× 422 1.8× 26 1.4k
Joseph L. Domagalski 440 0.8× 549 1.3× 333 1.1× 623 2.1× 198 0.8× 45 1.4k
Marc Schwientek 475 0.8× 387 0.9× 285 0.9× 481 1.6× 222 0.9× 40 1.3k
Jiancai Deng 604 1.1× 230 0.6× 385 1.2× 331 1.1× 215 0.9× 49 1.3k
Ji‐Hyung Park 480 0.9× 206 0.5× 515 1.6× 264 0.9× 502 2.1× 49 1.7k
Dominic M. DiToro 215 0.4× 327 0.8× 455 1.4× 349 1.2× 372 1.6× 21 1.3k
William C. Sonzogni 320 0.6× 665 1.6× 610 1.9× 318 1.0× 214 0.9× 65 1.8k
Xianqiang Tang 490 0.9× 236 0.6× 477 1.5× 374 1.2× 233 1.0× 61 1.4k
Honggang Zhang 613 1.1× 294 0.7× 363 1.1× 486 1.6× 312 1.3× 62 2.3k
Victor J. Bierman 413 0.7× 229 0.6× 749 2.4× 165 0.5× 420 1.8× 39 1.5k

Countries citing papers authored by Russell E. Train

Since Specialization
Citations

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

Fields of papers citing papers by Russell E. Train

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Russell E. Train. 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 Russell E. Train. The network helps show where Russell E. Train may publish in the future.

Co-authorship network of co-authors of Russell E. Train

This figure shows the co-authorship network connecting the top 25 collaborators of Russell E. Train. A scholar is included among the top collaborators of Russell E. Train 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 Russell E. Train. Russell E. Train 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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