S. Malde

49.7k citations
13 papers · 58 · h-index 5

Impact in

Papers in

S. Malde

10 papers receiving 55 citations

Peers

S. Malde
Comparison fields: 5 of 5
  • Nuclear and High Energy Physics 55
  • Atomic and Molecular Physics, and Optics 6
  • Information Systems and Management 1
  • Computer Networks and Communications 1
  • Electrical and Electronic Engineering 1
Replace J. Zhu with:
J. Zhu China
C. Wu United States
P. Solvignon United States
A. Dzyuba Russia
Christian Ehmann Germany
Iu. Skorodumina Russia
Qing-Yong Lin China
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O. Bertini Germany
S. Malde relative to J. Zhu China J. Zhu's profile →
Citations per field
00.5×1.5×2×
J. Zhu · 1×
Citations per year

Countries citing papers authored by S. Malde

Since Specialization
Citations

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

Fields of papers citing papers by S. Malde

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 201416
2 201513
3 20148
4 20156
5
The PIDCalib package
20165
6 20114
7 20203
8
Measurements of the masses, lifetimes and mixings of B hadrons at the Tevatron
20091
9 20211
10 20251
11
First determination of the CP content of D! + + and updated determination of the CP contents of D! + 0 and D! K + K 0
20150
12 20170
13 20260

About S. Malde

S. Malde is a scholar working on Nuclear and High Energy Physics, Atomic and Molecular Physics, and Optics, Artificial Intelligence, Electrical and Electronic Engineering and Insect Science, having authored 13 papers that have together received 58 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (12 papers), Quantum Chromodynamics and Particle Interactions (9 papers), High-Energy Particle Collisions Research (4 papers), Atomic and Subatomic Physics Research (4 papers), Neutrino Physics Research (3 papers), Particle Detector Development and Performance (2 papers), Particle Accelerators and Free-Electron Lasers (1 paper) and Algorithms and Data Compression (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (55 citations), Atomic and Molecular Physics, and Optics (6 citations), Information Systems and Management (1 citation), Computer Networks and Communications (1 citation) and Electrical and Electronic Engineering (1 citation). S. Malde has collaborated with scholars based in United Kingdom, Switzerland and India. Frequent co-authors include G. Wilkinson, C. Thomas, T. Gershon, R. A. Briere, J. Libby, M. Nayak, G. Bonvicini, P. Naik, J. H. Rademacker and S. Ricciardi. Their work appears in journals such as Physics Letters B, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Journal of High Energy Physics, University of North Texas Digital Library (University of North Texas) and EPJ Web of Conferences.

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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