H. Makhmara

714 total citations · 1 hit paper
5 papers, 537 citations indexed

About

H. Makhmara is a scholar working on Atmospheric Science, Computer Networks and Communications and Control and Systems Engineering. According to data from OpenAlex, H. Makhmara has authored 5 papers receiving a total of 537 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Atmospheric Science, 1 paper in Computer Networks and Communications and 1 paper in Control and Systems Engineering. Recurrent topics in H. Makhmara's work include Time Series Analysis and Forecasting (1 paper), Remote Sensing and Land Use (1 paper) and Fault Detection and Control Systems (1 paper). H. Makhmara is often cited by papers focused on Time Series Analysis and Forecasting (1 paper), Remote Sensing and Land Use (1 paper) and Fault Detection and Control Systems (1 paper). H. Makhmara collaborates with scholars based in France, Morocco and Belgium. H. Makhmara's co-authors include Frédéric Baret, Bruno Smets, Roselyne Lacaze, Marie Weiss, Fernando Camacho, Pierre‐Yves Le Traon, Philippe Gaspar, F. Bouyssel, Vahid Naeimi and Aleixandre Verger and has published in prestigious journals such as Remote Sensing of Environment, Journal of Atmospheric and Oceanic Technology and Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)).

In The Last Decade

H. Makhmara

5 papers receiving 517 citations

Hit Papers

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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.

GEOV1: LAI and FAPAR essential climate variables and FCOVER global time series capitalizing over existing products. Part1: Principles of development and production

2013 440 citations Frédéric Baret, Marie Weiss et al. Remote Sensing of Environment profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
H. Makhmara France	4	348	313	251	109	96	5	537
Joel Kuusk Estonia	17	381 1.1×	333 1.1×	241 1.0×	100 0.9×	99 1.0×	35	676
John Iiames United States	10	272 0.8×	208 0.7×	138 0.5×	58 0.5×	102 1.1×	18	449
David Béal France	8	464 1.3×	267 0.9×	234 0.9×	150 1.4×	108 1.1×	13	622
Michael Voßbeck Sweden	14	243 0.7×	435 1.4×	171 0.7×	41 0.4×	279 2.9×	30	612
Enrico C. Paringit Philippines	11	291 0.8×	184 0.6×	171 0.7×	53 0.5×	59 0.6×	44	492
Carl H. Menges Australia	8	386 1.1×	278 0.9×	295 1.2×	87 0.8×	88 0.9×	23	547
Nanfeng Liu China	12	347 1.0×	300 1.0×	211 0.8×	115 1.1×	226 2.4×	18	660
Xiuzhen Han China	12	182 0.5×	319 1.0×	147 0.6×	42 0.4×	272 2.8×	48	545
Maciej Bartold Poland	12	282 0.8×	200 0.6×	170 0.7×	57 0.5×	96 1.0×	41	435

Countries citing papers authored by H. Makhmara

Since Specialization

Citations

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

Fields of papers citing papers by H. Makhmara

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of H. Makhmara

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

All Works

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5 of 5 papers shown

1.

Baret, Frédéric, Marie Weiss, Roselyne Lacaze, et al.. (2013). GEOV1: LAI and FAPAR essential climate variables and FCOVER global time series capitalizing over existing products. Part1: Principles of development and production. Remote Sensing of Environment. 137. 299–309. 440 indexed citations breakdown →

2.

Verger, Aleixandre, Frédéric Baret, M. Weiß, et al.. (2012). LAI, FAPAR and FCOVER products derived from AVHRR long time series: principles and evaluation. EGU General Assembly Conference Abstracts. 7844. 4 indexed citations

3.

Lacaze, Roselyne, Gianpaolo Balsamo, Frédéric Baret, et al.. (2010). GEOLAND2 - Towards an operational GMES land monitoring core service; first results of the biogeophysical parameter core mapping service. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 354–359. 8 indexed citations

4.

Traon, Pierre‐Yves Le, Philippe Gaspar, F. Bouyssel, & H. Makhmara. (1995). Using Topex/Poseidon Data to EnhanceERS-1Data. Journal of Atmospheric and Oceanic Technology. 12(1). 161–170. 84 indexed citations

5.

Traon, Pierre‐Yves Le, Philippe Gaspar, F. Bouyssel, & H. Makhmara. (1994). Reducing ERS-1 orbit error using TOPEX/Poseidon data. 2. 759–763. 1 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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