James A. Tallman

528 citations
18 papers · 435 indexed · h-index 7
Topics
Turbomachinery Performance and Optimization (16 papers)Computational Fluid Dynamics and Aerodynamics (10 papers)Heat Transfer Mechanisms (7 papers)
Journals
DiabetesJournal of TurbomachineryVolume 1: Aircraft Engine; Marine; Turbomachinery; Microturbines and Small Turbomachinery
Partner nations
United StatesIsrael

In The Last Decade

James A. Tallman

18 papers receiving 424 citations

Peers

James A. Tallman
Comparison fields: 5 of 62
  • Aerospace Engineering 213
  • Computational Mechanics 192
  • Mechanical Engineering 126
  • Oncology 78
  • Surgery 64
Replace Osamu Ueda with:
Osamu Ueda Japan
Ming-Jen Sheu Taiwan
Dimitrios Papadogiannis Greece
Yasuyuki Kobayashi Japan
N. V. Taylor United Kingdom
Myoung Jun Kim South Korea
Akira Miki Japan
Seung–Min Jeong South Korea
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James A. Tallman relative to Osamu Ueda Japan Osamu Ueda's profile →
Citations per field
00.5×5.2×
Osamu Ueda · 1×
Citations per year

Countries citing papers authored by James A. Tallman

Since Specialization
Citations

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

Fields of papers citing papers by James A. Tallman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James A. Tallman

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

All Works

18 of 18 papers shown
#WorkIndexed citations
1 4
2 3
3 2
4 2
5 1
6 26
7 194
8 3
9 4
10 13
11 3
12 9
13
A Computational Study of Tip Desensitization in Axial Flow Turbines
6
14 16
15 2
16 5
17 83
18 59

About James A. Tallman

James A. Tallman is a scholar working on Aerospace Engineering, Computational Mechanics and Mechanical Engineering, having authored 18 papers that have together received 435 indexed citations. Recurring topics across this work include Turbomachinery Performance and Optimization (16 papers), Computational Fluid Dynamics and Aerodynamics (10 papers) and Heat Transfer Mechanisms (7 papers). The work is most often cited by research in Computational Mechanics (192 citations), Aerospace Engineering (213 citations) and Nephrology (35 citations). James A. Tallman has collaborated with scholars based in United States and Israel. Frequent co-authors include B. Lakshminarayana, Hideaki Takahashi, Paul Wilson, Eileen Sutherland, Tao Jiang, Jinping Li, Pnina Scherzer, Lois J. Arend, Moshe Levi and Xiaoxin X. Wang. Their work appears in journals such as Diabetes, Journal of Turbomachinery and Volume 1: Aircraft Engine; Marine; Turbomachinery; Microturbines and Small Turbomachinery.

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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