David Bachiochi

1.8k total citations · 2 hit papers
9 papers, 1.4k citations indexed

About

David Bachiochi is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, David Bachiochi has authored 9 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Atmospheric Science, 9 papers in Global and Planetary Change and 3 papers in Oceanography. Recurrent topics in David Bachiochi's work include Climate variability and models (6 papers), Meteorological Phenomena and Simulations (5 papers) and Atmospheric chemistry and aerosols (3 papers). David Bachiochi is often cited by papers focused on Climate variability and models (6 papers), Meteorological Phenomena and Simulations (5 papers) and Atmospheric chemistry and aerosols (3 papers). David Bachiochi collaborates with scholars based in United States, India and France. David Bachiochi's co-authors include Timothy E. LaRow, C. M. Kishtawal, Sulochana Gadgil, Sajani Surendran, T. N. Krishnamurti, Zhan Zhang, T. N. Krishnamurti, Zhan Zhang, A. C. Staudt and Daniel J. Jacob and has published in prestigious journals such as Science, Journal of Geophysical Research Atmospheres and Journal of Climate.

In The Last Decade

David Bachiochi

9 papers receiving 1.3k citations

Hit Papers

Improved Weather and Seasonal Climate Forecasts from Mult... 1999 2026 2008 2017 1999 2000 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Bachiochi United States 8 1.2k 1.1k 196 160 157 9 1.4k
U. Damrath Germany 7 1.1k 0.9× 1.1k 1.0× 194 1.0× 124 0.8× 107 0.7× 8 1.4k
Timothy E. LaRow United States 12 1.3k 1.1× 1.3k 1.1× 193 1.0× 165 1.0× 364 2.3× 14 1.6k
Saroj K. Mishra India 22 1.1k 1.0× 914 0.8× 157 0.8× 136 0.8× 194 1.2× 91 1.4k
Sajani Surendran India 12 1.6k 1.3× 1.5k 1.3× 222 1.1× 193 1.2× 266 1.7× 27 1.9k
Jongil Han United States 19 1.3k 1.1× 1.4k 1.2× 252 1.3× 123 0.8× 172 1.1× 38 1.8k
Mio Matsueda Japan 19 1.6k 1.4× 1.6k 1.4× 89 0.5× 114 0.7× 285 1.8× 45 1.8k
Lorenzo Tomassini Germany 21 1.3k 1.1× 1.2k 1.1× 115 0.6× 64 0.4× 164 1.0× 35 1.7k
Kenneth R. Mylne United Kingdom 13 891 0.8× 892 0.8× 196 1.0× 75 0.5× 87 0.6× 19 1.2k
Jeffrey H. Copeland United States 5 1.1k 0.9× 1.2k 1.0× 374 1.9× 95 0.6× 93 0.6× 8 1.6k
Andrew J. Negri United States 22 1.8k 1.5× 1.9k 1.7× 543 2.8× 142 0.9× 145 0.9× 50 2.4k

Countries citing papers authored by David Bachiochi

Since Specialization
Citations

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

Fields of papers citing papers by David Bachiochi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Bachiochi

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

All Works

9 of 9 papers shown
1.
Staudt, A. C., D. J. Jacob, François Ravetta, et al.. (2003). Sources and chemistry of nitrogen oxides over the tropical Pacific. Journal of Geophysical Research Atmospheres. 108(D2). 41 indexed citations
2.
Krishnamurti, T. N., et al.. (2002). Seasonal Forecasts of Precipitation Anomalies for North American and Asian Monsoons.. Journal of the Meteorological Society of Japan Ser II. 80(6). 1415–1426. 40 indexed citations
3.
Staudt, A. C., Daniel J. Jacob, Jennifer A. Logan, et al.. (2002). Global chemical model analysis of biomass burning and lightning influences over the South Pacific in austral spring. Journal of Geophysical Research Atmospheres. 107(D14). 28 indexed citations
4.
Bachiochi, David, Bhaskar Jha, & T. N. Krishnamurti. (2001). The effect of Indian Ocean warming on the Indian Monsoon: An atmospheric model study. MAUSAM. 52(1). 151–162. 1 indexed citations
5.
Staudt, A. C., Daniel J. Jacob, Jennifer A. Logan, et al.. (2001). Continental sources, transoceanic transport, and interhemispheric exchange of carbon monoxide over the Pacific. Journal of Geophysical Research Atmospheres. 106(D23). 32571–32589. 100 indexed citations
6.
Krishnamurti, T. N., David Bachiochi, Timothy E. LaRow, et al.. (2000). Coupled Atmosphere–Ocean Modeling of the El Niño of 1997–98. Journal of Climate. 13(14). 2428–2459. 25 indexed citations
7.
Bachiochi, David & T. N. Krishnamurti. (2000). Enhanced Low-Level Stratus in the FSU Coupled Ocean–Atmosphere Model. Monthly Weather Review. 128(9). 3083–3103. 10 indexed citations
8.
Krishnamurti, T. N., C. M. Kishtawal, Zhan Zhang, et al.. (2000). Multimodel Ensemble Forecasts for Weather and Seasonal Climate. Journal of Climate. 13(23). 4196–4216. 517 indexed citations breakdown →
9.
Krishnamurti, T. N., C. M. Kishtawal, Timothy E. LaRow, et al.. (1999). Improved Weather and Seasonal Climate Forecasts from Multimodel Superensemble. Science. 285(5433). 1548–1550. 665 indexed citations breakdown →

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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