Eviatar Bach

994 citations
21 papers · 674 indexed · 1 hit paper · h-index 11

Impact in

Papers in

Eviatar Bach

20 papers receiving 660 citations

Hit Papers

Protein Kinase G Induces an Immune Response in Cows Exposed toMycobacterium aviumSubsp.paratuberculosis 2018 · 214 citations
214201820262020202350100150200

Peers

Eviatar Bach
Comparison fields: 5 of 141
  • Atmospheric Science 186
  • Environmental Engineering 144
  • Global and Planetary Change 173
  • Pollution 63
  • Oceanography 47
Replace Yanan Wu with:
Yanan Wu China
Siqi Zhang China
C. Sweeney Ireland
Sangil Kim South Korea
E Langham Canada
Qihao Chen China
Jiayao Wang China
Rashmi Bhardwaj India
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Eviatar Bach relative to Yanan Wu China Yanan Wu's profile →
Citations per field
00.5×1.5×2.0×
Yanan Wu · 1×
Citations per year

Countries citing papers authored by Eviatar Bach

Since Specialization
Citations

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

Fields of papers citing papers by Eviatar Bach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eviatar Bach. 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 Eviatar Bach. The network helps show where Eviatar Bach may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Eviatar Bach, 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 Eviatar Bach Line = papers co-authored together Eviatar Bach links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20242
3 20248
4 20246
5 202441
6 20244
7 202316
8 202315
9 202210
10 202233
11 20225
12 202112
13 20219
14 201947
15 201924
16 20185
17 2018173
18
Protein Kinase G Induces an Immune Response in Cows Exposed toMycobacterium aviumSubsp.paratuberculosis
Hit paper breakdown →
2018214
19 201818
20 20152

About Eviatar Bach

Eviatar Bach is a scholar working on Atmospheric Science, Global and Planetary Change, Environmental Engineering, Small Animals and Ocean Engineering, having authored 21 papers that have together received 674 indexed citations. Recurring topics across this work include Meteorological Phenomena and Simulations (10 papers), Climate variability and models (10 papers), Reservoir Engineering and Simulation Methods (4 papers), Solar Radiation and Photovoltaics (3 papers), Statistical and numerical algorithms (2 papers), Tuberculosis Research and Epidemiology (2 papers), Mycobacterium research and diagnosis (2 papers) and Oceanographic and Atmospheric Processes (2 papers). The work is most often cited by research in Atmospheric Science (186 citations), Environmental Engineering (144 citations), Global and Planetary Change (173 citations), Pollution (63 citations) and Oceanography (47 citations). Eviatar Bach has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Yan Li, Horacio Bach, Melissa Richard‐Greenblatt, Douglas J. Begg, M. Chaffer, Greg Keefe, Eugenia Kalnay, Safa Motesharrei, Ning Zeng and Fred Kucharski. Their work appears in journals such as Journal of Advances in Modeling Earth Systems, Journal of Climate, Journal of Computational Physics, Scientific Reports and Geoscientific model development.

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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