Daniel R. Terno

3.2k citations
74 papers · 2.0k · h-index 21

Impact in

Papers in

Daniel R. Terno

69 papers receiving 2.0k citations

Peers

Daniel R. Terno
Comparison fields: 5 of 45
  • Atomic and Molecular Physics, and Optics 1.6k
  • Statistical and Nonlinear Physics 626
  • Artificial Intelligence 1.1k
  • Nuclear and High Energy Physics 428
  • Astronomy and Astrophysics 523
Replace Jürgen Audretsch with:
Jürgen Audretsch Germany
Angelo Bassi Italy
Olga V. Man’ko Russia
Massimo Blasone Italy
Hans-Thomas Elze Italy
Anthony Sudbery United Kingdom
Fernando C. Lombardo Argentina
Eduardo Martín-Martínez Canada
Ulvi Yurtsever United States
Beatrix C. Hiesmayr Austria
Daniel R. Terno relative to Jürgen Audretsch Germany Jürgen Audretsch's profile →
Citations per field
00.5×4.2×
Jürgen Audretsch · 1×
Citations per year

Countries citing papers authored by Daniel R. Terno

Since Specialization
Citations

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

Fields of papers citing papers by Daniel R. Terno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel R. Terno. 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 Daniel R. Terno. The network helps show where Daniel R. Terno may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004432
2 2002212
3 2016112
4 2011111
5 201084
6 200884
7 200175
8 200659
9 201156
10 200553
11 200350
12 199941
13 200334
14 200628
15 201426
16 200325
17 202123
18 201922
19 201821
20 201620

About Daniel R. Terno

Daniel R. Terno is a scholar working on Atomic and Molecular Physics, and Optics, Astronomy and Astrophysics, Nuclear and High Energy Physics, Artificial Intelligence and Statistical and Nonlinear Physics, having authored 74 papers that have together received 2.0k indexed citations. Recurring topics across this work include Cosmology and Gravitation Theories (32 papers), Quantum Mechanics and Applications (31 papers), Black Holes and Theoretical Physics (29 papers), Quantum Information and Cryptography (25 papers), Noncommutative and Quantum Gravity Theories (12 papers), Relativity and Gravitational Theory (10 papers), Quantum Computing Algorithms and Architecture (10 papers) and Quantum Electrodynamics and Casimir Effect (10 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (1.6k citations), Statistical and Nonlinear Physics (626 citations), Artificial Intelligence (1.1k citations), Nuclear and High Energy Physics (428 citations) and Astronomy and Astrophysics (523 citations). Daniel R. Terno has collaborated with scholars based in Australia, Canada and Israel. Frequent co-authors include Asher Peres, Aharon Brodutch, Petra F. Scudo, Radu Ionicioiu, Etera R. Livine, Robert B. Mann, Alexander R. H. Smith, Eduardo Martín-Martínez, Hilary A. Carteret and Karol Życzkowski. Their work appears in journals such as Physical review. D, Physical Review A, Physical Review Letters, Nuclear Physics B and International Journal of Modern Physics D.

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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