A. Nachman

1.1k citations
31 papers · 884 indexed · h-index 14

A. Nachman

31 papers receiving 773 citations

Peers

A. Nachman
Comparison fields: 5 of 59
  • Applied Mathematics 378
  • Numerical Analysis 185
  • Computational Theory and Mathematics 246
  • Modeling and Simulation 71
  • Mathematical Physics 96
Replace Milan Miklavčič with:
Milan Miklavčič United States
Dongming Wei United States
C. Verdi Italy
W.T. Ang Singapore
Milos̋ Zlámal Czechia
Rodica Toader Italy
Riccarda Rossi Italy
Mohammed Kbiri Alaoui Saudi Arabia
P. Puri United States
Nobuyuki Kenmochi Japan
A. Nachman relative to Milan Miklavčič United States Milan Miklavčič's profile →
Citations per field
00.5×3.9×
Milan Miklavčič · 1×
Citations per year

Countries citing papers authored by A. Nachman

Since Specialization
Citations

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

Fields of papers citing papers by A. Nachman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 21 scholars most cited alongside A. Nachman, 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 A. Nachman Line = papers co-authored together A. Nachman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 200412
2 200416
3 20022
4 19967
5 19945
6 198789
7 19863
8 198316
9 19825
10 19812
11 19811
12 19805
13 197914
14 19799
15 1978140
16 19781
17 19783
18 19789
19 197568
20 197516

About A. Nachman

A. Nachman is a scholar working on Fluid Flow and Transfer Processes, Mechanics of Materials, Modeling and Simulation, Statistical and Nonlinear Physics and Computational Mechanics, having authored 31 papers that have together received 884 indexed citations. Recurring topics across this work include Vibration and Dynamic Analysis (6 papers), Elasticity and Wave Propagation (5 papers), Dynamics and Control of Mechanical Systems (5 papers), stochastic dynamics and bifurcation (4 papers), Rheology and Fluid Dynamics Studies (4 papers), Nonlinear Dynamics and Pattern Formation (4 papers), Contact Mechanics and Variational Inequalities (3 papers) and Composite Structure Analysis and Optimization (3 papers). The work is most often cited by research in Applied Mathematics (378 citations), Numerical Analysis (185 citations), Computational Theory and Mathematics (246 citations), Modeling and Simulation (71 citations) and Mathematical Physics (96 citations). A. Nachman has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Andrew J. Callegari, W. D. Lakin, J. Buckmaster, M. Yousuff Hussaini, Lu Ting, Ying‐Cheng Lai, Zonghua Liu, John Buckmaster, Steven D. Taliaferro and Stuart S. Antman. Their work appears in journals such as The Quarterly Journal of Mechanics and Applied Mathematics, Journal of Applied Mechanics, SIAM Journal on Applied Mathematics, Journal of Engineering Mathematics and International Journal of Engineering Science.

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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