Daniel J. Rivera

1.1k total citations · 1 hit paper
7 papers, 922 citations indexed

About

Daniel J. Rivera is a scholar working on Catalysis, Materials Chemistry and Computer Networks and Communications. According to data from OpenAlex, Daniel J. Rivera has authored 7 papers receiving a total of 922 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Catalysis, 4 papers in Materials Chemistry and 3 papers in Computer Networks and Communications. Recurrent topics in Daniel J. Rivera's work include Ammonia Synthesis and Nitrogen Reduction (6 papers), Advanced Photocatalysis Techniques (3 papers) and Catalytic Processes in Materials Science (2 papers). Daniel J. Rivera is often cited by papers focused on Ammonia Synthesis and Nitrogen Reduction (6 papers), Advanced Photocatalysis Techniques (3 papers) and Catalytic Processes in Materials Science (2 papers). Daniel J. Rivera collaborates with scholars based in United States, Canada and United Kingdom. Daniel J. Rivera's co-authors include Christopher L. Muhich, Srishti Gupta, Sten Lambeets, Daniel E. Perea, Graham King, Guanhui Gao, Haotian Wang, Feng-Yang Chen, Hua Zhou and Y. Zou Finfrock and has published in prestigious journals such as Nature Nanotechnology, Small and Surface Science.

In The Last Decade

Daniel J. Rivera

6 papers receiving 912 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.

Efficient conversion of low-concentration nitrate sources into ammonia on a Ru-dispersed Cu nanowire electrocatalyst

2022 885 citations Feng-Yang Chen, Zhenyu Wu et al. Nature Nanotechnology profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Daniel J. Rivera United States	6	804	652	393	248	165	7	922
Ann Cathrin Brix Germany	9	638 0.8×	736 1.1×	347 0.9×	249 1.0×	139 0.8×	14	938
Jia-Yi Fang China	7	692 0.9×	664 1.0×	346 0.9×	240 1.0×	150 0.9×	8	936
Fengkun Hao China	11	836 1.0×	752 1.2×	323 0.8×	320 1.3×	159 1.0×	21	1.1k
Sheng-Nan Hu China	6	633 0.8×	580 0.9×	295 0.8×	232 0.9×	110 0.7×	7	759
George-Daniel Dima Romania	4	640 0.8×	533 0.8×	255 0.6×	256 1.0×	119 0.7×	7	830
Sishuang Tang United States	5	408 0.5×	378 0.6×	184 0.5×	212 0.9×	90 0.5×	5	542
Tong-An Bu China	5	753 0.9×	742 1.1×	225 0.6×	402 1.6×	117 0.7×	11	900
Jianghua Wu China	4	406 0.5×	326 0.5×	184 0.5×	172 0.7×	90 0.5×	4	516
Xiuyuan Yang China	7	573 0.7×	498 0.8×	307 0.8×	201 0.8×	94 0.6×	8	702

Countries citing papers authored by Daniel J. Rivera

Since Specialization

Citations

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

Fields of papers citing papers by Daniel J. Rivera

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel J. Rivera

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

All Works

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7 of 7 papers shown

1.

Yan, Yu, Daniel J. Rivera, Weiyi Pan, et al.. (2025). Tuning nitrate reduction reaction selectivity via selective adsorption in electrified membranes. 2(6). 379–390. 7 indexed citations

2.

Rivera, Daniel J., Bongki Shin, Byeong Jun, et al.. (2024). Nickel Enhances InPd-Catalyzed Nitrate Reduction Activity and N₂ Selectivity. ACS ES&T Engineering. 5(2). 434–446.

3.

Tian, Xiaoyin, Jing Zhang, Kali Rigby, et al.. (2024). Tuning Local Atomic Structures in MoS ₂ Based Catalysts for Electrochemical Nitrate Reduction. Small. 21(28). e2310562–e2310562. 6 indexed citations

4.

Rivera, Daniel J. & Christopher L. Muhich. (2023). Preventing H2S poisoning of dense Pd membranes for H2 purification using an electric-field: An Ab initio study. Surface Science. 733. 122303–122303. 5 indexed citations

5.

Gupta, Srishti, et al.. (2023). Behavior of Cupric Single Atom Alloy Catalysts for Electrochemical Nitrate Reduction: An Ab Initio Study. ACS ES&T Engineering. 4(1). 166–175. 6 indexed citations

6.

Chen, Feng-Yang, Zhenyu Wu, Srishti Gupta, et al.. (2022). Efficient conversion of low-concentration nitrate sources into ammonia on a Ru-dispersed Cu nanowire electrocatalyst. Nature Nanotechnology. 17(7). 759–767. 885 indexed citations breakdown →

7.

Hessel, Anthony L., et al.. (2018). Case Study: A Bio-Inspired Control Algorithm for a Robotic Foot-Ankle Prosthesis Provides Adaptive Control of Level Walking and Stair Ascent. Frontiers in Robotics and AI. 5. 36–36. 13 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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