Martin R. Risch

34 total papers · 669 total citations
21 papers, 495 citations indexed

About

Martin R. Risch is a scholar working on Health, Toxicology and Mutagenesis, Water Science and Technology and Pollution. According to data from OpenAlex, Martin R. Risch has authored 21 papers receiving a total of 495 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Health, Toxicology and Mutagenesis, 6 papers in Water Science and Technology and 5 papers in Pollution. Recurrent topics in Martin R. Risch's work include Mercury impact and mitigation studies (14 papers), Toxic Organic Pollutants Impact (9 papers) and Water Quality and Resources Studies (6 papers). Martin R. Risch is often cited by papers focused on Mercury impact and mitigation studies (14 papers), Toxic Organic Pollutants Impact (9 papers) and Water Quality and Resources Studies (6 papers). Martin R. Risch collaborates with scholars based in United States, Canada and Australia. Martin R. Risch's co-authors include Leiming Zhang, David P. Krabbenhoft, John F. DeWild, David A. Gay, Randall K. Kolka, Elizabeth W. Boyer, Mark S. Castro, Thomas M. Holsen, James A. Barres and G. Keeler and has published in prestigious journals such as Environmental Science & Technology, Environmental Pollution and Atmospheric Environment.

In The Last Decade

Martin R. Risch

20 papers receiving 473 citations

Author Peers

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

Author						Papers	Cites
Martin R. Risch	446	174	56	33	32	21	495
Susan Allen‐Gil	367 0.8×	236 1.4×	85 1.5×	26 0.8×	31 1.0×	15	527
T. Savinova	413 0.9×	116 0.7×	56 1.0×	41 1.2×	24 0.8×	14	483
J. E. M. Beurskens	277 0.6×	294 1.7×	60 1.1×	23 0.7×	19 0.6×	14	441
Ana Cecília Rizzatti de Albergaria‐Barbosa	248 0.6×	219 1.3×	76 1.4×	36 1.1×	28 0.9×	33	421
Denise P. Kay	441 1.0×	156 0.9×	59 1.1×	24 0.7×	19 0.6×	36	490
Emmanuel Wafo	275 0.6×	160 0.9×	140 2.5×	63 1.9×	13 0.4×	35	487
Caterina Stella	258 0.6×	200 1.1×	41 0.7×	20 0.6×	9 0.3×	20	473
Leo Newland	240 0.5×	63 0.4×	43 0.8×	101 3.1×	52 1.6×	21	429
Carey E. Donald	410 0.9×	119 0.7×	21 0.4×	47 1.4×	22 0.7×	26	535
S.L. Huntley	294 0.7×	200 1.1×	37 0.7×	35 1.1×	21 0.7×	18	445

Countries citing papers authored by Martin R. Risch

Since Specialization

Citations

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

Fields of papers citing papers by Martin R. Risch

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Martin R. Risch. 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 Martin R. Risch. The network helps show where Martin R. Risch may publish in the future.

Co-authorship network of co-authors of Martin R. Risch

This figure shows the co-authorship network connecting the top 25 collaborators of Martin R. Risch. A scholar is included among the top collaborators of Martin R. Risch 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 Martin R. Risch. Martin R. Risch 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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