Kishor Jaiswal

2.7k total citations · 1 hit paper
67 papers, 1.8k citations indexed

About

Kishor Jaiswal is a scholar working on Geophysics, Civil and Structural Engineering and Artificial Intelligence. According to data from OpenAlex, Kishor Jaiswal has authored 67 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Geophysics, 35 papers in Civil and Structural Engineering and 21 papers in Artificial Intelligence. Recurrent topics in Kishor Jaiswal's work include earthquake and tectonic studies (41 papers), Seismic Performance and Analysis (31 papers) and Seismology and Earthquake Studies (18 papers). Kishor Jaiswal is often cited by papers focused on earthquake and tectonic studies (41 papers), Seismic Performance and Analysis (31 papers) and Seismology and Earthquake Studies (18 papers). Kishor Jaiswal collaborates with scholars based in United States, Italy and Russia. Kishor Jaiswal's co-authors include David J. Wald, Ravi Sinha, Keith Porter, Kristin D. Marano, Dina D’Ayala, Michael Hearne, Mike Hearne, Mark D. Petersen, P. S. Earle and Charles S. Mueller and has published in prestigious journals such as Tectonophysics, Bulletin of the Seismological Society of America and Natural Hazards.

In The Last Decade

Kishor Jaiswal

59 papers receiving 1.7k citations

Hit 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.

The 2018 update of the US National Seismic Hazard Model: Overview of model and implications

2019 194 citations Mark D. Petersen, Allison M. Shumway et al. Earthquake Spectra profile →

Peers

Kishor Jaiswal

CSE

GEOPH

AI

SPS

GPC

Mustafa Erdik Türkiye

Mario Ordaz Mexico

Trevor I. Allen Australia

Giulio Zuccaro Italy

Karin Şeşetyan Türkiye

Laurentiu Danciu Switzerland

Liam Wotherspoon New Zealand

Gottfried Grünthal Germany

Graeme Weatherill Germany

Arnaud Mignan Switzerland

Mustafa Erdik Türkiye

Kishor Jaiswal

1.7k ×1.7

CSE

1.4k ×1.4

GEOPH

432 ×1.4

AI

273 ×1.0

SPS

153 ×0.9

GPC

Citations per year, relative to Kishor Jaiswal Kishor Jaiswal (= 1×) peers Mustafa Erdik

Countries citing papers authored by Kishor Jaiswal

Since Specialization

Citations

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

Fields of papers citing papers by Kishor Jaiswal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kishor Jaiswal

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

All Works

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20 of 20 papers shown

1.

Jaiswal, Kishor, et al.. (2024). Evaluating the impact of uncertainty in ground motion forecasts for post‐earthquake impact modeling applications. Earthquake Spectra. 41(1). 524–546. 1 indexed citations

2.

Jaiswal, Kishor, et al.. (2024). Earthquake scenario development in conjunction with the 2023 USGS National Seismic Hazard Model. Earthquake Spectra. 40(3). 1818–1844.

3.

Jaiswal, Kishor, et al.. (2024). Quantitative risk of earthquake disruption to global copper and rhenium supply. Antarctica A Keystone in a Changing World.

4.

Kwong, N. Simon & Kishor Jaiswal. (2023). Uses of epistemic uncertainties in the USGS National Seismic Hazard Models. Earthquake Spectra. 39(2). 1058–1087. 2 indexed citations

5.

Marano, Kristin D., Michael Hearne, Kishor Jaiswal, et al.. (2023). ShakeMap Atlas 4.0 and AtlasCat: An Archive of the Recent and the Historical Earthquake ShakeMaps, and Impacts for Global Hazard Analyses and Loss Model Calibration. Seismological Research Letters. 95(2A). 879–899. 8 indexed citations

6.

Worden, C. Bruce, et al.. (2022). Partitioning Ground Motion Uncertainty When Conditioned on Station Data. Bulletin of the Seismological Society of America. 112(2). 1060–1079. 16 indexed citations

7.

Petersen, Mark D., Allison M. Shumway, Peter M. Powers, et al.. (2021). The 2018 update of the US National Seismic Hazard Model: Where, why, and how much probabilistic ground motion maps changed. Earthquake Spectra. 37(2). 959–987. 8 indexed citations

8.

Noh, Hae Young, et al.. (2020). An efficient Bayesian framework for updating PAGER loss estimates. Earthquake Spectra. 36(4). 1719–1742. 10 indexed citations

9.

Silva, Vítor, Alejandro Calderón, Catarina Costa, et al.. (2020). Development of a global seismic risk model. Earthquake Spectra. 36(1S). 372–394. 115 indexed citations

10.

Petersen, Mark D., Allison M. Shumway, Peter M. Powers, et al.. (2019). The 2018 update of the US National Seismic Hazard Model: Overview of model and implications. Earthquake Spectra. 36(1). 5–41. 194 indexed citations breakdown →

11.

Wald, David J., Hope A. Seligson, Jordan Burns, et al.. (2019). A domestic earthquake impact alert protocol based on the combined USGS PAGER and FEMA Hazus loss estimation systems. Earthquake Spectra. 36(1). 164–182. 15 indexed citations

12.

Jaiswal, Kishor, et al.. (2018). An Efficient Bayesian Framework for Updating PAGER Loss Estimates. AGU Fall Meeting Abstracts. 2018. 1 indexed citations

13.

Arendt, Lucy A., et al.. (2017). Implementing Nepal's National Building Code: A Case Study in Patience and Persistence. Earthquake Spectra. 33(1S). 167–183. 5 indexed citations

14.

Aagaard, B., Mehmet Çelebi, L. S. Gee, et al.. (2017). U.S. Geological Survey National Strong-Motion Project strategic plan, 2017–22. Antarctica A Keystone in a Changing World. 1 indexed citations

15.

Marshall, Justin D., et al.. (2013). Post‐Earthquake Building Safety Inspection: Lessons from the Canterbury, New Zealand, Earthquakes. Earthquake Spectra. 29(3). 1091–1107. 24 indexed citations

16.

Jaiswal, Kishor & David J. Wald. (2013). Estimating Economic Losses from Earthquakes Using an Empirical Approach. Earthquake Spectra. 29(1). 309–324. 44 indexed citations

17.

Jaiswal, Kishor, David J. Wald, & Dina D’Ayala. (2011). Developing Empirical Collapse Fragility Functions for Global Building Types. Earthquake Spectra. 27(3). 775–795. 96 indexed citations

18.

Jaiswal, Kishor, David J. Wald, & Keith Porter. (2010). A Global Building Inventory for Earthquake Loss Estimation and Risk Management. Earthquake Spectra. 26(3). 731–748. 100 indexed citations

19.

Jaiswal, Kishor & David J. Wald. (2010). An Empirical Model for Global Earthquake Fatality Estimation. Earthquake Spectra. 26(4). 1017–1037. 99 indexed citations

20.

Jaiswal, Kishor & Ravi Sinha. (2007). Spatial variation of maximum considered and design basis earthquakes in peninsular India. Current Science. 92(5). 639–645. 10 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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